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The developed approach of foam fabrication is allowing to utilize renewable resources to fabricate insulation material in a short time via an energy-efficient process.
Carbon-fiber-reinforced polymers (CFRPs) play a major role in enabling highly efficient energy usage in various applications ranging from aerospace to automobiles and sporting goods, because of their lightweight and robust mechanical properties.
This invention enables utilization of multiple primary energy sources such as electricity, natural gas, hydrogen, propane, biogas in industrial and commercial heating equipment.
Technologies are described for privacy-preserving, reduced bias system that identifies faces. The disclosed technologies can be used for national security purposes, or other civilian purposes.
ORNL has developed bacterial strains that can utilize a common plastic co-monomer as a feedstock. This will help enable modern, petroleum-derived plastics to be converted into value-added chemicals.
The inventors demonstrate a system for the distribution of squeezed light across an active optical network.
While there is abundant need spanning many science domains to make public ML algorithms fit on private data, differentially private(DP) ML is constrained by a Pareto front in which the accuracy-privacy tradeoff is often untenable for use.
Using the current invention one may design composite parts with No based refractory alloys for hotter sections (needing more high temperature strength and creep resistance) while opting for relatively low cost and low gamma prime containing IN718 at zones operating below 1400F
The technology described reduces the porosity from the printed parts in the material feeding line and improve mechanical properties.
This solution aims to significantly reduce the cost, lead time, and energy consumption with fabricating complex cylindrical casings and housings, similar to combustion chambers of gas turbines.